MCNet: meta-clustering learning network for micro-expression recognition

Author:

Wang Ziqi1,Fu Wenwen1,Zhang Yue1,Li Jiarui1,Gong Wenjuan1,Gonzàlez Jordi2

Affiliation:

1. China University of Petroleum (East China), Qingdao Institute of Software, College of Computer Science and Technology, Computer Technology, Qingdao, China

2. Universitat Autònoma de Barcelona, Computer Vision Center, Bellaterra, Spain

Publisher

SPIE-Intl Soc Optical Eng

Reference50 articles.

1. A survey of multidisciplinary domains contributing to affective computing

2. How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions

3. A pilot study to investigate the effectiveness of emotion recognition remediation in schizophrenia using the micro-expression training tool

4. What the face reveals: basic and applied studies of spontaneous expression using the facial action coding system (FACS);Ekman,2020

5. I see how you feel: training laypeople and professionals to recognize fleeting emotions;Frank,2009

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